Renewable Energy with Energy-Efficient Distributed Processing for IoT
- 24 August 2022
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 160-164
Abstract
In this paper, we extend a Mixed Integer Linear Programming (MILP) model to study the impact of renewable energy available represented by wind farms and solar power on the data centre over a multi-layer distributed IoT architecture supported by fog and cloud. The results show that compared to the traditional two-layer architecture in an un-capacitated design approach, energy savings in renewable energy are up to 60% with high workload services. Compared to the data centre powered by non-renewable energy, the model can achieve up to 30% energy savings.Keywords
This publication has 8 references indexed in Scilit:
- Energy-Efficient Edge-Fog-Cloud Architecture for IoT-Based Smart Agriculture EnvironmentIEEE Access, 2021
- Energy Efficient Distributed Processing for IoTIEEE Access, 2020
- Internet of Things Market Analysis Forecasts, 2020–20302020
- Survey on fog computing: architecture, key technologies, applications and open issuesJournal of Network and Computer Applications, 2017
- Renewable energy in distributed energy efficient content delivery clouds2015
- Fog computing and its role in the internet of things2012
- Green IP Over WDM Networks With Data CentersJournal of Lightwave Technology, 2011
- Green Cloud Computing: Balancing Energy in Processing, Storage, and TransportProceedings of the IEEE, 2010